code: def setUp(self):
      super().setUp()
      self._connection_config = metadata_store_pb2.ConnectionConfig()
      self._connection_config.sqlite.SetInParent()
      self._module_file_path = os.path.join(self.tmp_dir, "module_file")
      self._input_artifacts = {
          "input_examples": [standard_artifacts.Examples()]
      }
      self._output_artifacts = {
          "output_models": [standard_artifacts.Model()]
      }
      self._parameters = {"module_file": self._module_file_path}
      self._module_file_content = "module content"
      self._pipeline_node = text_format.Parse(
          """
          node_info {
            id: "my_id"
          }
          """,
          pipeline_pb2.PipelineNode(),
      )
      self._pipeline_info = pipeline_pb2.PipelineInfo(id="pipeline_id")
      self._executor_spec = text_format.Parse(
          """
          class_path: "my.class.path"
          """,
          executable_spec_pb2.PythonClassExecutableSpec(),
      )
  
imports: import os
  from unittest import mock
  import tensorflow
  from tfx.dsl.io import fileio
  from tfx.orchestration import metadata
  from tfx.orchestration.portable import cache_utils
  from tfx.orchestration.portable import execution_publish_utils
  from tfx.orchestration.portable.mlmd import context_lib
  from tfx.proto.orchestration import executable_spec_pb2
  from tfx.proto.orchestration import pipeline_pb2
  from tfx.types import standard_artifacts
  from tfx.utils import test_case_utils
  from google.protobuf import text_format
  from ml_metadata.proto import metadata_store_pb2
label_desc: Use image node_id 1 for calling the CacheUtilsTest obj's underlying member method code with example usage: obj.setUp() without return types